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Author

Yu Xiao

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Preprint Sep 2026

Training-Free Logical and Structural Anomaly Detection via Calibrated Fusion

This work shows that counting ability can be introduced into training-free anomaly detection without additional training or part-level supervision, and proposes a normal-set calibration that aligns heterogeneous anomaly cues using statistics from normal images, enabling their direct fusion within a unified training-fre...

Chang-Yi Li, Miao Yu, Kai-Ling Dong et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Adaptive Multi-Granularity Temporal Modeling for Weakly Supervised Video Anomaly Detection

An adaptive temporal modeling framework for WSVAD that explicitly accounts for variations in video dynamics across multiple temporal granularities is proposed and an adaptive similarity-based fusion strategy that dynamically integrates anomaly scores into video-level predictions is proposed, replacing fixed top-k aggre...

Chang-Yi Li, Yu Xiao · 0 citations

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